Corpus Engine Towards a reproducible .science file.
← All .science files

pmid:35300146

Identification of Prognostic Genes in Hepatocellular Carcinoma.

Wenhui Bai · Li Cheng · Liangkun Xiong · Maoming Wang · Hao Liu · Kaihuan Yu · Weixing Wang

International journal of general medicine · 2022 doi:10.2147/IJGM.S347535

Paper

complete

Experiment

complete

Data

partial

Analysis

partial

Execution

absent

Execution evidence has not yet been added to this .science file. Explore its methods, data and open questions to plan the next step.
Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
id
pmid:35300146
kind
science-record
content_hash
sha256:89082ea152ea56a0dd7d6ab24bd45e40d88c1a79de388f57a297bf889d704b05
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T18:14:05Z
updated_at
2026-11-01T22:06:08Z
generator object · 2 fields
name
corpus-assay-engine
run_id
reading-sci-2026-11-01
paper object · 10 fields
state
complete
title
Identification of Prognostic Genes in Hepatocellular Carcinoma.
doi
10.2147/IJGM.S347535
pmid
35300146
authors array · 7 items
[0]
Wenhui Bai
[1]
Li Cheng
[2]
Liangkun Xiong
[3]
Maoming Wang
[4]
Hao Liu
[5]
Kaihuan Yu
[6]
Weixing Wang
journal
International journal of general medicine
year
2022
abstract
Background: Previous studies have demonstrated the important role of tumor stem cells (TSCs) in the development of hepatocellular carcinoma (HCC); however, TSC-related genetic markers have not been investigated. Aim: The aim of the present study was to identify stem cell-related signature genes to predict the prognosis of HCC, using The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Methods: In total, 423 liver HCC tissue samples, including 373 tumor and 50 adjacent normal tissue samples from TCGA, and 115 primary tumor and 52 adjacent non-tumor tissue samples from the GEO GSE76427 database, were used in the present study. The non-negative matrix factorization (NMF) algorithm, t-distributed stochastic neighbor embedding (t-SNE) algorithm and Cox regression analysis were combined for model construction and validation. Results: Overall, six clusters were identified using the NMF and t-SNE algorithms with 470 stem cell-related genes. The results demonstrated that patients in cluster 5 had the worst prognosis. For multivariate Cox survival analysis, 15 genes with optimal lambda values were chosen and eight genes were incorporated into the final regression model using the optimal Akaike information criterion value. Validation of the risk model using the aforementioned eight signature genes demonstrated the models strong reliability and stable predictive performance. Conclusion: The results of the present study indicated that the eight-gene (Hes family BHLH transcription factor 5, KIT ligand, methyltransferase-like 3, proteasome 26S subunit non-ATPase 1, Ras-related protein Rab-10, treacle ribosome biogenesis factor 1, YTH N6-methyladenosine RNA binding protein 2 and Zinc Finger CCCH-Type Containing 13) signature constructed by the model may be reliable in predicting the prognosis of patients with HCC.
claims array · 3 items
[0] object · 6 fields
id
claim-method
statement
The non-negative matrix factorization (NMF) algorithm, t-distributed stochastic neighbor embedding (t-SNE) algorithm and Cox regression analysis were combined for model construction and validation.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:35300146
locator
sections[0] "Abstract" paragraph 3
quote
The non-negative matrix factorization (NMF) algorithm, t-distributed stochastic neighbor embedding (t-SNE) algorithm and Cox regression analysis were combined for model construction and validation.
state
complete
[1] object · 6 fields
id
claim-data-access
statement
Clinical, RNA-sequencing (seq) and pathological data were provided by the Genomic Data Commons Data Portal.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:35300146
locator
sections[3] "Data Collection" paragraph 2
quote
Clinical, RNA-sequencing (seq) and pathological data were provided by the Genomic Data Commons Data Portal.
state
complete
[2] object · 6 fields
id
claim-target-result
statement
The results of the present study indicated that the eight-gene (Hes family BHLH transcription factor 5, KIT ligand, methyltransferase-like 3, proteasome 26S subunit non-ATPase 1, Ras-related protein Rab-10, treacle ribosome biogenesis factor 1, YTH N6-methyladenosine RNA binding protein 2 and Zinc Finger CCCH-Type Containing 13) signature constructed by the model may be reliable in predicting the prognosis of patients with HCC.
kind
qualitative
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:35300146
locator
sections[0] "Abstract" paragraph 5
quote
The results of the present study indicated that the eight-gene (Hes family BHLH transcription factor 5, KIT ligand, methyltransferase-like 3, proteasome 26S subunit non-ATPase 1, Ras-related protein Rab-10, treacle ribosome biogenesis factor 1, YTH N6-methyladenosine RNA binding protein 2 and Zinc Finger CCCH-Type Containing 13) signature constructed by the model may be reliable in predicting the prognosis of patients with HCC.
state
complete
gaps array · 0 items
experiment object · 8 fields
state
complete
objective
The results of the present study indicated that the eight-gene (Hes family BHLH transcription factor 5, KIT ligand, methyltransferase-like 3, proteasome 26S subunit non-ATPase 1, Ras-related protein Rab-10, treacle ribosome biogenesis factor 1, YTH N6-methyladenosine RNA binding protein 2 and Zinc Finger CCCH-Type Containing 13) signature constructed by the model may be reliable in predicting the prognosis of patients with HCC.
steps array · 3 items
[0] object · 13 fields
id
read_published_estimate
order
1
name
Read the published estimate from the source
kind
other
state
complete
blocked_on
null
description
The claim, method and evidence span published with the source article.
parameters object · 0 fields
inputs array · 1 item
[0]
source:pmid:35300146
outputs array · 1 item
[0]
the published estimate and its evidence
instruments array · 0 items
reagents array · 0 items
[1] object · 13 fields
id
obtain_source_data
order
2
name
Obtain the source data from the named repository
kind
data-preparation
state
complete
blocked_on
null
description
The GEO series accession resolves and its sample accessions are listed. This lane did not download the dataset or read its licence.
parameters object · 0 fields
inputs array · 1 item
[0]
data:geo:GSE76427
outputs array · 1 item
[0]
the source data with its repository provenance
instruments array · 0 items
reagents array · 0 items
[2] object · 13 fields
id
run_analysis
order
3
name
Run the published analysis
kind
analysis
state
complete
blocked_on
null
description
Apply the paper's statistical method to the resolved series and compare the result with the published target.
parameters object · 0 fields
inputs array · 1 item
[0]
data:geo:GSE76427
outputs array · 1 item
[0]
the replicated result and its comparison
instruments array · 0 items
reagents array · 0 items
materials array · 0 items
instruments array · 0 items
reagents array · 0 items
conditions object · 0 fields
gaps array · 0 items
data object · 3 fields
state
partial
assets array · 2 items
[0] object · 15 fields
id
source:pmid:35300146
role
manuscript
format
xml
media_type
application/xml
uri
https://doi.org/10.2147/IJGM.S347535
sha256
sha256:a61a09eb817915b14fb49af434c3ee4e45b75d3a28a8d4782490268320914bc5
bytes
29753
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
10.2147/IJGM.S347535
version
null
note
Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.
structure object · 4 fields
pmcid
PMC8923701
source
europe_pmc_fulltext
coverage
whole_body
text_hash_scope
rendered_section_body
[1] object · 15 fields
id
data:geo:GSE76427
role
raw
format
geo-series
media_type
application/vnd.ncbi.geo-series+json
uri
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE76427
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE76427
version
null
note
Clinical, RNA-sequencing (seq) and pathological data were provided by the Genomic Data Commons Data Portal.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
Clinical, RNA-sequencing (seq) and pathological data were provided by the Genomic Data Commons Data Portal.
access_statement_kind
repository_route_statement
sample_accessions array · 167 items
[0]
GSM2011285
[1]
GSM2011286
[2]
GSM2011287
[3]
GSM2011288
[4]
GSM2011289
[5]
GSM2011290
[6]
GSM2011291
[7]
GSM2011292
[8]
GSM2011293
[9]
GSM2011294
[10]
GSM2011295
[11]
GSM2011296
[12]
GSM2011297
[13]
GSM2011298
[14]
GSM2011299
[15]
GSM2011300
[16]
GSM2011301
[17]
GSM2011302
[18]
GSM2011303
[19]
GSM2011304
[20]
GSM2011305
[21]
GSM2011306
[22]
GSM2011307
[23]
GSM2011308
[24]
GSM2011309
[25]
GSM2011310
[26]
GSM2011311
[27]
GSM2011312
[28]
GSM2011313
[29]
GSM2011314
[30]
GSM2011315
[31]
GSM2011316
[32]
GSM2011317
[33]
GSM2011318
[34]
GSM2011319
[35]
GSM2011320
[36]
GSM2011321
[37]
GSM2011322
[38]
GSM2011323
[39]
GSM2011324
[40]
GSM2011325
[41]
GSM2011326
[42]
GSM2011327
[43]
GSM2011328
[44]
GSM2011329
[45]
GSM2011330
[46]
GSM2011331
[47]
GSM2011332
[48]
GSM2011333
[49]
GSM2011334
[50]
GSM2011335
[51]
GSM2011336
[52]
GSM2011337
[53]
GSM2011338
[54]
GSM2011339
[55]
GSM2011340
[56]
GSM2011341
[57]
GSM2011342
[58]
GSM2011343
[59]
GSM2011344
[60]
GSM2011345
[61]
GSM2011346
[62]
GSM2011347
[63]
GSM2011348
[64]
GSM2011349
[65]
GSM2011350
[66]
GSM2011351
[67]
GSM2011352
[68]
GSM2011353
[69]
GSM2011354
[70]
GSM2011355
[71]
GSM2011356
[72]
GSM2011357
[73]
GSM2011358
[74]
GSM2011359
[75]
GSM2011360
[76]
GSM2011361
[77]
GSM2011362
[78]
GSM2011363
[79]
GSM2011364
[80]
GSM2011365
[81]
GSM2011366
[82]
GSM2011367
[83]
GSM2011368
[84]
GSM2011369
[85]
GSM2011370
[86]
GSM2011371
[87]
GSM2011372
[88]
GSM2011373
[89]
GSM2011374
[90]
GSM2011375
[91]
GSM2011376
[92]
GSM2011377
[93]
GSM2011378
[94]
GSM2011379
[95]
GSM2011380
[96]
GSM2011381
[97]
GSM2011382
[98]
GSM2011383
[99]
GSM2011384
[100]
GSM2011385
[101]
GSM2011386
[102]
GSM2011387
[103]
GSM2011388
[104]
GSM2011389
[105]
GSM2011390
[106]
GSM2011391
[107]
GSM2011392
[108]
GSM2011393
[109]
GSM2011394
[110]
GSM2011395
[111]
GSM2011396
[112]
GSM2011397
[113]
GSM2011398
[114]
GSM2011399
[115]
GSM2011400
[116]
GSM2011401
[117]
GSM2011402
[118]
GSM2011403
[119]
GSM2011404
[120]
GSM2011405
[121]
GSM2011406
[122]
GSM2011407
[123]
GSM2011408
[124]
GSM2011409
[125]
GSM2011410
[126]
GSM2011411
[127]
GSM2011412
[128]
GSM2011413
[129]
GSM2011414
[130]
GSM2011415
[131]
GSM2011416
[132]
GSM2011417
[133]
GSM2011418
[134]
GSM2011419
[135]
GSM2011420
[136]
GSM2011421
[137]
GSM2011422
[138]
GSM2011423
[139]
GSM2011424
[140]
GSM2011425
[141]
GSM2011426
[142]
GSM2011427
[143]
GSM2011428
[144]
GSM2011429
[145]
GSM2011430
[146]
GSM2011431
[147]
GSM2011432
[148]
GSM2011433
[149]
GSM2011434
[150]
GSM2011435
[151]
GSM2011436
[152]
GSM2011437
[153]
GSM2011438
[154]
GSM2011439
[155]
GSM2011440
[156]
GSM2011441
[157]
GSM2011442
[158]
GSM2011443
[159]
GSM2011444
[160]
GSM2011445
[161]
GSM2011446
[162]
GSM2011447
[163]
GSM2011448
[164]
GSM2011449
[165]
GSM2011450
[166]
GSM2011451
sample_count
167
group_sizes
null
group_sizes_basis
null
platform
10558
taxon
Homo sapiens
title
Microarray expression data for tumor and adjacent non-tumor tissues from hepatocellular carcinoma patients
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
gaps array · 2 items
[0]
asset:data:geo:GSE76427 not downloaded
[1]
asset:data:geo:GSE76427 licence not read
analysis object · 4 fields
state
partial
methods array · 2 items
[0] object · 10 fields
id
method-1
family
survival_analysis
specific
cox_proportional_hazards
label
Survival analysis
dsl_operations array · 1 item
[0]
cox_ph
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
time_to_event_with_censoring
evidence object · 3 fields
score
1
band
verbatim
quote
The non-negative matrix factorization (NMF) algorithm, t-distributed stochastic neighbor embedding (t-SNE) algorithm and Cox regression analysis were combined for model construction and validation.
[1] object · 10 fields
id
method-2
family
group_comparison
specific
anova
label
Group comparison
dsl_operations array · 4 items
[0]
group_summary
[1]
welch_t
[2]
bootstrap_mean_difference
[3]
group_comparison_anova
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
two_or_more_groups_continuous
evidence object · 3 fields
score
0.8
band
high
quote
ANOVA
targets array · 0 items
gaps array · 1 item
[0]
method.reader_differs_from_extractor
capability object · 3 fields
state
complete
requirements array · 1 item
[0] object · 6 fields
capability_id
capability:computational_analysis
label
Computational analysis platform
assay_families array · 9 items
[0]
meta_analysis
[1]
machine_learning
[2]
survival_analysis
[3]
statistical_regression
[4]
pca
[5]
molecular_docking
[6]
network_analysis
[7]
differential_expression
[8]
gwas
candidate
Automated Assays Laravel application and simulated adapters
gaps array · 0 items
readiness object · 8 fields
state
complete
tier
R1
blocked_on
nothing:replicable_now
axes object · 3 fields
method object · 5 fields
tier
R1
expressible
true
required_operations array · 1 item
[0]
cox_ph
missing_operations array · 0 items
basis
The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: cox_proportional_hazards.
capability object · 4 fields
tier
R1
capability_id
capability:computational_analysis
availability_state
owned
basis
The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here.
data object · 6 fields
tier
R1
reachable
true
accessions array · 1 item
[0]
GSE76427
resolved_accessions array · 1 item
[0]
GSE76427
statements array · 1 item
[0]
Clinical, RNA-sequencing (seq) and pathological data were provided by the Genomic Data Commons Data Portal.
basis
The paper names GSE76427 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
dsl_operations array · 1 item
[0]
cox_ph
assets array · 2 items
[0]
source:pmid:35300146
[1]
data:geo:GSE76427
steps array · 1 item
[0]
run_analysis
must_build object · 5 fields
dsl_operations array · 0 items
converters array · 0 items
readers array · 0 items
capabilities array · 0 items
data_gaps array · 1 item
[0]
data:geo:GSE76427
gaps array · 0 items
review object · 5 fields
state
partial
machine_critique object · 5 fields
kind
extraction_review
reader object · 5 fields
model
MiniMax-M3.1-Flash
provider
minimax
provider_family
minimax
read_at
2026-11-01T17:38:26Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
null
calls
5
usage object · 3 fields
prompt_tokens
8605
completion_tokens
1259
cached_tokens
188
stages array · 1 item
[0] object · 4 fields
id
extraction
state
complete
reader
MiniMax-M3.1-Flash
provider
minimax
gaps array · 3 items
[0]
review.independent_reader
[1]
review.machine_critique
[2]
review.human_critique
execution object · 5 fields
state
absent
status
not_run
mode
null
runs array · 0 items
gaps array · 1 item
[0]
execution.not_run
provenance object · 7 fields
entities array · 3 items
[0] object · 3 fields
id
pmid:35300146
type
paper
label
pmid:35300146
[1] object · 3 fields
id
source:pmid:35300146
type
manuscript
label
PMID 35300146 full text
[2] object · 3 fields
id
data:geo:GSE76427
type
dataset
label
GEO GSE76427
activities array · 3 items
[0] object · 4 fields
id
activity-reading-sci-2026-11-01
type
classification
used array · 3 items
[0] object · 3 fields
id
pmid:35300146
type
paper
label
pmid:35300146
[1] object · 3 fields
id
source:pmid:35300146
type
manuscript
label
PMID 35300146 full text
[2] object · 3 fields
id
data:geo:GSE76427
type
dataset
label
GEO GSE76427
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-35300146
type
extraction
used array · 1 item
[0]
source:pmid:35300146
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE76427
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE76427
agent
agent:corpus-assay-engine
agents array · 2 items
[0] object · 3 fields
id
agent:corpus-assay-engine
type
software
label
Corpus assay engine
[1] object · 3 fields
id
agent:minimax-reader
type
software
label
MiniMax literature reader
source_run_id
reading-sci-2026-11-01
dsl_catalogue_fingerprint
343fb30756ba6ec3
capability_table_fingerprint
2cb3e42f047d2ecf
snapshot_id
ba34b49490d9bfaf
lineage object · 4 fields
parent_id
pmid:35300146
parent_hash
sha256:5b6e09e4dd96ea12b71054e6f0beb02f3f0da0e8e7337a16cb9a3334c58c8b4c
fork_of
null
gaps array · 7 items
[0]
asset:data:geo:GSE76427 licence not read
[1]
asset:data:geo:GSE76427 not downloaded
[2]
execution.not_run
[3]
method.reader_differs_from_extractor
[4]
review.human_critique
[5]
review.independent_reader
[6]
review.machine_critique
assays array · 2 items
[0] object · 11 fields
role
data_generation
definition_id
methylation_array
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.85
evidence array · 1 item
[0]
CIBERSORT, quanTIseq, xCell, MCP-counter and EPIC algorithms (https://timer.cistrome.org/). A
order_basis
paper_text_order:3675
id
assay:1
[1] object · 11 fields
role
analysis
definition_id
survival_analysis
definition_version
f2132e96ae6c7a4e
required_operations array · 1 item
[0]
cox_ph
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
The non-negative matrix factorization (NMF) algorithm, t-distributed stochastic neighbor embedding (t-SNE) algorithm and Cox regression analysis were combined for model construction and validation.
order_basis
consumes_earlier_output
id
assay:2
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:35300146", "kind": "science-record", "revision": 4, "content_hash": "sha256:89082ea152ea56a0dd7d6ab24bd45e40d88c1a79de388f57a297bf889d704b05", "created_at": "2026-11-01T18:14:05Z", "updated_at": "2026-11-01T22:06:08Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of Prognostic Genes in Hepatocellular Carcinoma.", "doi": "10.2147/IJGM.S347535", "pmid": "35300146", "authors": ["Wenhui Bai", "Li Cheng", "Liangkun Xiong", "Maoming Wang", "Hao Liu", "Kaihuan Yu", "Weixing Wang"], "journal": "International journal of general medicine", "year": 2022, "abstract": "Background: Previous studies have demonstrated the important role of tumor stem cells (TSCs) in the development of hepatocellular carcinoma (HCC); however, TSC-related genetic markers have not been investigated.\nAim: The aim of the present study was to identify stem cell-related signature genes to predict the prognosis of HCC, using The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases.\nMethods: In total, 423 liver HCC tissue samples, including 373 tumor and 50 adjacent normal tissue samples from TCGA, and 115 primary tumor and 52 adjacent non-tumor tissue samples from the GEO GSE76427 database, were used in the present study. The non-negative matrix factorization (NMF) algorithm, t-distributed stochastic neighbor embedding (t-SNE) algorithm and Cox regression analysis were combined for model construction and validation.\nResults: Overall, six clusters were identified using the NMF and t-SNE algorithms with 470 stem cell-related genes. The results demonstrated that patients in cluster 5 had the worst prognosis. For multivariate Cox survival analysis, 15 genes with optimal lambda values were chosen and eight genes were incorporated into the final regression model using the optimal Akaike information criterion value. Validation of the risk model using the aforementioned eight signature genes demonstrated the models strong reliability and stable predictive performance.\nConclusion: The results of the present study indicated that the eight-gene (Hes family BHLH transcription factor 5, KIT ligand, methyltransferase-like 3, proteasome 26S subunit non-ATPase 1, Ras-related protein Rab-10, treacle ribosome biogenesis factor 1, YTH N6-methyladenosine RNA binding protein 2 and Zinc Finger CCCH-Type Containing 13) signature constructed by the model may be reliable in predicting the prognosis of patients with HCC.", "claims": [{"id": "claim-method", "statement": "The non-negative matrix factorization (NMF) algorithm, t-distributed stochastic neighbor embedding (t-SNE) algorithm and Cox regression analysis were combined for model construction and validation.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35300146", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "The non-negative matrix factorization (NMF) algorithm, t-distributed stochastic neighbor embedding (t-SNE) algorithm and Cox regression analysis were combined for model construction and validation."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Clinical, RNA-sequencing (seq) and pathological data were provided by the Genomic Data Commons Data Portal.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35300146", "locator": "sections[3] \"Data Collection\" paragraph 2", "quote": "Clinical, RNA-sequencing (seq) and pathological data were provided by the Genomic Data Commons Data Portal."}], "state": "complete"}, {"id": "claim-target-result", "statement": "The results of the present study indicated that the eight-gene (Hes family BHLH transcription factor 5, KIT ligand, methyltransferase-like 3, proteasome 26S subunit non-ATPase 1, Ras-related protein Rab-10, treacle ribosome biogenesis factor 1, YTH N6-methyladenosine RNA binding protein 2 and Zinc Finger CCCH-Type Containing 13) signature constructed by the model may be reliable in predicting the prognosis of patients with HCC.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:35300146", "locator": "sections[0] \"Abstract\" paragraph 5", "quote": "The results of the present study indicated that the eight-gene (Hes family BHLH transcription factor 5, KIT ligand, methyltransferase-like 3, proteasome 26S subunit non-ATPase 1, Ras-related protein Rab-10, treacle ribosome biogenesis factor 1, YTH N6-methyladenosine RNA binding protein 2 and Zinc Finger CCCH-Type Containing 13) signature constructed by the model may be reliable in predicting the prognosis of patients with HCC."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "The results of the present study indicated that the eight-gene (Hes family BHLH transcription factor 5, KIT ligand, methyltransferase-like 3, proteasome 26S subunit non-ATPase 1, Ras-related protein Rab-10, treacle ribosome biogenesis factor 1, YTH N6-methyladenosine RNA binding protein 2 and Zinc Finger CCCH-Type Containing 13) signature constructed by the model may be reliable in predicting the prognosis of patients with HCC.", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:35300146"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE76427"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "complete", "blocked_on": null, "description": "Apply the paper's statistical method to the resolved series and compare the result with the published target.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE76427"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:35300146", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.2147/IJGM.S347535", "sha256": "sha256:a61a09eb817915b14fb49af434c3ee4e45b75d3a28a8d4782490268320914bc5", "bytes": 29753, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.2147/IJGM.S347535", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC8923701", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE76427", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE76427", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE76427", "version": null, "note": "Clinical, RNA-sequencing (seq) and pathological data were provided by the Genomic Data Commons Data Portal.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "Clinical, RNA-sequencing (seq) and pathological data were provided by the Genomic Data Commons Data Portal.", "access_statement_kind": "repository_route_statement", "sample_accessions": ["GSM2011285", "GSM2011286", "GSM2011287", "GSM2011288", "GSM2011289", "GSM2011290", "GSM2011291", "GSM2011292", "GSM2011293", "GSM2011294", "GSM2011295", "GSM2011296", "GSM2011297", "GSM2011298", "GSM2011299", "GSM2011300", "GSM2011301", "GSM2011302", "GSM2011303", "GSM2011304", "GSM2011305", "GSM2011306", "GSM2011307", "GSM2011308", "GSM2011309", "GSM2011310", "GSM2011311", "GSM2011312", "GSM2011313", "GSM2011314", "GSM2011315", "GSM2011316", "GSM2011317", "GSM2011318", "GSM2011319", "GSM2011320", "GSM2011321", "GSM2011322", "GSM2011323", "GSM2011324", "GSM2011325", "GSM2011326", "GSM2011327", "GSM2011328", "GSM2011329", "GSM2011330", "GSM2011331", "GSM2011332", "GSM2011333", "GSM2011334", "GSM2011335", "GSM2011336", "GSM2011337", "GSM2011338", "GSM2011339", "GSM2011340", "GSM2011341", "GSM2011342", "GSM2011343", "GSM2011344", "GSM2011345", "GSM2011346", "GSM2011347", "GSM2011348", "GSM2011349", "GSM2011350", "GSM2011351", "GSM2011352", "GSM2011353", "GSM2011354", "GSM2011355", "GSM2011356", "GSM2011357", "GSM2011358", "GSM2011359", "GSM2011360", "GSM2011361", "GSM2011362", "GSM2011363", "GSM2011364", "GSM2011365", "GSM2011366", "GSM2011367", "GSM2011368", "GSM2011369", "GSM2011370", "GSM2011371", "GSM2011372", "GSM2011373", "GSM2011374", "GSM2011375", "GSM2011376", "GSM2011377", "GSM2011378", "GSM2011379", "GSM2011380", "GSM2011381", "GSM2011382", "GSM2011383", "GSM2011384", "GSM2011385", "GSM2011386", "GSM2011387", "GSM2011388", "GSM2011389", "GSM2011390", "GSM2011391", "GSM2011392", "GSM2011393", "GSM2011394", "GSM2011395", "GSM2011396", "GSM2011397", "GSM2011398", "GSM2011399", "GSM2011400", "GSM2011401", "GSM2011402", "GSM2011403", "GSM2011404", "GSM2011405", "GSM2011406", "GSM2011407", "GSM2011408", "GSM2011409", "GSM2011410", "GSM2011411", "GSM2011412", "GSM2011413", "GSM2011414", "GSM2011415", "GSM2011416", "GSM2011417", "GSM2011418", "GSM2011419", "GSM2011420", "GSM2011421", "GSM2011422", "GSM2011423", "GSM2011424", "GSM2011425", "GSM2011426", "GSM2011427", "GSM2011428", "GSM2011429", "GSM2011430", "GSM2011431", "GSM2011432", "GSM2011433", "GSM2011434", "GSM2011435", "GSM2011436", "GSM2011437", "GSM2011438", "GSM2011439", "GSM2011440", "GSM2011441", "GSM2011442", "GSM2011443", "GSM2011444", "GSM2011445", "GSM2011446", "GSM2011447", "GSM2011448", "GSM2011449", "GSM2011450", "GSM2011451"], "sample_count": 167, "group_sizes": null, "group_sizes_basis": null, "platform": "10558", "taxon": "Homo sapiens", "title": "Microarray expression data for tumor and adjacent non-tumor tissues from hepatocellular carcinoma patients", "resolution_checked_at": "2026-11-01T15:39:55Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}], "gaps": ["asset:data:geo:GSE76427 not downloaded", "asset:data:geo:GSE76427 licence not read"]}, "analysis": {"state": "partial", "methods": [{"id": "method-1", "family": "survival_analysis", "specific": "cox_proportional_hazards", "label": "Survival analysis", "dsl_operations": ["cox_ph"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["time_to_event_with_censoring"], "evidence": {"score": 1.0, "band": "verbatim", "quote": "The non-negative matrix factorization (NMF) algorithm, t-distributed stochastic neighbor embedding (t-SNE) algorithm and Cox regression analysis were combined for model construction and validation."}}, {"id": "method-2", "family": "group_comparison", "specific": "anova", "label": "Group comparison", "dsl_operations": ["group_summary", "welch_t", "bootstrap_mean_difference", "group_comparison_anova"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["two_or_more_groups_continuous"], "evidence": {"score": 0.8, "band": "high", "quote": "ANOVA"}}], "targets": [], "gaps": ["method.reader_differs_from_extractor"]}, "capability": {"state": "complete", "requirements": [{"capability_id": "capability:computational_analysis", "label": "Computational analysis platform", "assay_families": ["meta_analysis", "machine_learning", "survival_analysis", "statistical_regression", "pca", "molecular_docking", "network_analysis", "differential_expression", "gwas"], "availability_state": "owned", "tier_unlocked": "R1", "candidate": "Automated Assays Laravel application and simulated adapters"}], "gaps": []}, "readiness": {"state": "complete", "tier": "R1", "blocking_axis": "none", "blocked_on": "nothing:replicable_now", "axes": {"method": {"tier": "R1", "expressible": true, "required_operations": ["cox_ph"], "missing_operations": [], "basis": "The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: cox_proportional_hazards."}, "capability": {"tier": "R1", "capability_id": "capability:computational_analysis", "availability_state": "owned", "basis": "The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here."}, "data": {"tier": "R1", "reachable": true, "accessions": ["GSE76427"], "resolved_accessions": ["GSE76427"], "statements": ["Clinical, RNA-sequencing (seq) and pathological data were provided by the Genomic Data Commons Data Portal."], "basis": "The paper names GSE76427 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read."}}, "can_run": {"dsl_operations": ["cox_ph"], "assets": ["source:pmid:35300146", "data:geo:GSE76427"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE76427"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-11-01T17:38:26Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": null}, "calls": 5, "usage": {"prompt_tokens": 8605, "completion_tokens": 1259, "cached_tokens": 188}}, "human_critique": null, "stages": [{"id": "extraction", "state": "complete", "reader": "MiniMax-M3.1-Flash", "provider": "minimax"}], "gaps": ["review.independent_reader", "review.machine_critique", "review.human_critique"]}, "execution": {"state": "absent", "status": "not_run", "mode": null, "runs": [], "gaps": ["execution.not_run"]}, "provenance": {"entities": [{"id": "pmid:35300146", "type": "paper", "label": "pmid:35300146"}, {"id": "source:pmid:35300146", "type": "manuscript", "label": "PMID 35300146 full text"}, {"id": "data:geo:GSE76427", "type": "dataset", "label": "GEO GSE76427"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:35300146", "type": "paper", "label": "pmid:35300146"}, {"id": "source:pmid:35300146", "type": "manuscript", "label": "PMID 35300146 full text"}, {"id": "data:geo:GSE76427", "type": "dataset", "label": "GEO GSE76427"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-35300146", "type": "extraction", "used": ["source:pmid:35300146"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE76427", "type": "accession_resolution", "used": ["data:geo:GSE76427"], "agent": "agent:corpus-assay-engine"}], "agents": [{"id": "agent:corpus-assay-engine", "type": "software", "label": "Corpus assay engine"}, {"id": "agent:minimax-reader", "type": "software", "label": "MiniMax literature reader"}], "source_run_id": "reading-sci-2026-11-01", "dsl_catalogue_fingerprint": "343fb30756ba6ec3", "capability_table_fingerprint": "2cb3e42f047d2ecf", "snapshot_id": "ba34b49490d9bfaf"}, "lineage": {"parent_id": "pmid:35300146", "parent_hash": "sha256:5b6e09e4dd96ea12b71054e6f0beb02f3f0da0e8e7337a16cb9a3334c58c8b4c", "fork_of": null, "generation": 3}, "gaps": ["asset:data:geo:GSE76427 licence not read", "asset:data:geo:GSE76427 not downloaded", "execution.not_run", "method.reader_differs_from_extractor", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"role": "data_generation", "definition_id": "methylation_array", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.85, "evidence": ["CIBERSORT, quanTIseq, xCell, MCP-counter and EPIC algorithms (https://timer.cistrome.org/). A"], "order_basis": "paper_text_order:3675", "id": "assay:1"}, {"role": "analysis", "definition_id": "survival_analysis", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["cox_ph"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["The non-negative matrix factorization (NMF) algorithm, t-distributed stochastic neighbor embedding (t-SNE) algorithm and Cox regression analysis were combined for model construction and validation."], "order_basis": "consumes_earlier_output", "id": "assay:2"}]}